SIGIR

iQPP: A Benchmark for Image Query Performance Prediction

Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe

Comments Accepted at SIGIR 2023

A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data

Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli

Comments 6 pages, 3 figures, 5 tables, accepted in 2023 SIGIR Industry track (SIGIR Symposium on IR in Practice, SIRIP)

T2Ranking: A large-scale Chinese Benchmark for Passage Ranking

Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma

Comments This Resource paper has been accepted by the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives

Andreea Iana, Goran Glavaš, Heiko Paulheim

Comments Accepted at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Blurring-Sharpening Process Models for Collaborative Filtering

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho

Comments Accepted by SIGIR 2023

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations

An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian McAuley

Comments Accepted to SIGIR-23, with additional dataset details. Code and data: https://github.com/zzxslp/Gest

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs

Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang

Comments Accepted by SIGIR 2023

Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation

Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye

Comments Accepted at SIGIR 2023 Industry Track

Optimizing generalized Gini indices for fairness in rankings

Virginie Do, Nicolas Usunier

Comments Accepted to SIGIR 2022

MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation

M. H. Maqbool, Umar Farooq, Adib Mosharrof, A. B. Siddique, Hassan Foroosh

Comments 10 pages, 4 tables, 4 figures, Under submission at SIGIR'23

Improving Video Retrieval by Adaptive Margin

Feng He, Qi Wang, Zhifan Feng, Wenbin Jiang, Yajuan Lv, Yong zhu, Xiao Tan

Comments Accepted by SIGIR 2021

You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos

Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu, Xi Zhou

Comments in SIGIR 2022

True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study

Li Shi, Nilavra Bhattacharya, Anubrata Das, Jacek Gwizdka

Comments In ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 23), March 19-23, 2023, Austin, TX, USA. ACM, New York, NY, USA, 10 pages

UNDR: User-Needs-Driven Ranking of Products in E-Commerce

Andrea Papenmeier, Daniel Hienert, Firas Sabbah, Norbert Fuhr, Dagmar Kern

Journal ref In Proceedings of the SIGIR 2022 eCom workshop

Tensor Factorization with Label Information for Fake News Detection

Frosso Papanastasiou, Georgios Katsimpras, Georgios Paliouras

Comments Presented at the Workshop on Reducing Online Misinformation Exposure ROME 2019

Journal ref (SIGIR 2019) Proceedings of Workshop on Reducing Online Misinformation Exposure (ROME)

Does Search Engine Optimization come along with high-quality content? A comparison between optimized and non-optimized health-related web pages

Sebastian Schultheiß, Helena Häußler, Dirk Lewandowski

Journal ref CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14 - 18, 2022

CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming

Junjie H. Xu, Yu Nakano, Lingrong Kong, Kojiro Iizuka

Comments 5 pages, 3 figures, In ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 23)

Efficient On-Device Session-Based Recommendation

Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin

Comments Extension of Our SIGIR'22 Paper (On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation), accepted by TOIS. arXiv admin note: text overlap with arXiv:2204.11091

Data Management Challenges for Internet-scale 3D Search Engines

James Williams, Shane Scott, Sean Wedig, Timur Hindanov, Christoph Roedig

Comments Second version, distributed by SIGIR Forum

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation

Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang

Comments SIGIR'22

Enhancing CTR Prediction with Context-Aware Feature Representation Learning

Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

Comments SIGIR 2022

CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines

Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh

Comments Accepted at SIGIR'22 (Resource Track)

SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts

Andrés García-Silva, Cristian Berrío, José Manuel Gómez-Pérez, José Antonio Martínez-Heras, Alessandro Donati, Ilaria Roma

Comments In proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

Human in the loop approaches in multi-modal conversational task guidance system development

Ramesh Manuvinakurike, Sovan Biswas, Giuseppe Raffa, Richard Beckwith, Anthony Rhodes, Meng Shi, Gesem Gudino Mejia, Saurav Sahay, Lama Nachman

Comments SCAI @ SIGIR

On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval

Amin Abolghasemi, Arian Askari, Suzan Verberne

Comments Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval

Privacy-Preserving Synthetic Data Generation for Recommendation Systems

Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan Kankanhalli

Comments ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR' 22)

ORCAS-I: Queries Annotated with Intent using Weak Supervision

Daria Alexander, Wojciech Kusa, Arjen P. de Vries

Comments presented at SIGIR 2022 (resource track)

Value Penalized Q-Learning for Recommender Systems

Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao

Comments An uncertainty based offline RL algorithm for recommender systems, SIGIR short paper

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders

Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek Abdelzaher

Comments In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22)

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li

Comments 14 pages, 5 figures. Accepted by SIGIR 2022